A parallel algorithm for fast reconstruction of primary vertices on heterogeneous architectures

被引:0
作者
Agnieszka Dziurda [1 ]
Maciej Giza [1 ]
Vladimir V. Gligorov [2 ]
Wouter Hulsbergen [3 ]
Bogdan Kutsenko [4 ]
Saverio Mariani [5 ]
Niklas Nolte [3 ]
Florian Reiss [6 ]
Patrick Spradlin [7 ]
Dorothea vom Bruch [8 ]
Tomasz Wojton [5 ]
机构
[1] Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences,
[2] LPNHE,undefined
[3] Sorbonne Université,undefined
[4] Paris Diderot Sorbonne Paris Cité,undefined
[5] CNRS/IN2P3,undefined
[6] European Organization for Nuclear Research (CERN),undefined
[7] Nikhef National Institute for Subatomic Physics,undefined
[8] Aix Marseille Univ,undefined
[9] CNRS/IN2P3,undefined
[10] CPPM,undefined
[11] Massachusetts Institute of Technology,undefined
[12] Physikalisches Institut,undefined
[13] Albert-Ludwigs-Universität Freiburg,undefined
[14] University of Glasgow,undefined
来源
The European Physical Journal C | / 85卷 / 6期
关键词
D O I
10.1140/epjc/s10052-025-14225-7
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摘要
The physics programme of the LHCb experiment at the Large Hadron Collider requires an efficient and precise reconstruction of the particle collision vertices. The LHCb Upgrade detector relies on a fully software-based trigger with an online reconstruction rate of 30MHz\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$~\textrm{MHz}$$\end{document}, necessitating fast vertex finding algorithms. This paper describes a new approach to vertex reconstruction developed for this purpose. The algorithm is based on cluster finding within a histogram of the particle trajectory projections along the beamline and on an adaptive vertex fit. Its implementations and optimisations on x86 and GPU architectures and its performance on simulated samples are also discussed.
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